A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4584 LNCS, Issue , 2007, Pages 1-12

  Heimann, Tobias ^a   Münzing, Sascha ^a   Meinzer, Hans Peter ^a   Wolf, Ivo ^a  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; EVOLUTIONARY ALGORITHMS; MATHEMATICAL MODELS; TISSUE;

ACTIVE SHAPE MECHANISM; SOFT TISSUE SEGMENTATION; SURFACE DETECTION; VOLUMETRIC IMAGES;

IMAGE SEGMENTATION;

EID: 38149051524     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_1     Document Type: Conference Paper

References (22)

1. Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models - their train- ing and application. Computer Vision and Image Understanding 61(1), 38-59 (1995)
2. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(4), 321-331 (1988)
3. Shen, D., Davatzikos, C.: An adaptive-focus deformable model using statistical and geometric information. IEEE Trans. Pattern Analysis and Machine Intelligence 22(8), 906-913 (2000)
4. Weese, J., Kaus, M., Lorenz, C., Lobregt, S., Truyen, R., Pekar, V.: Shape constrained deformable models for 3D medical image segmentation. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 380-387. Springer, Heidelberg (2001)
5. Soler, L., Delingette, H., Malandain, G., Montagnat, J., Ayache, N., et al.: Fully automatic anatomical, pathological, and functional segmentation from ct scans for hepatic surgery. In: Proc. SPIE Medical Imaging, pp. 246-255 (2000)
6. Hill, A., Taylor, C.J., Cootes, T.F.: Object recognition by flexible template matching using genetic algorithms. In: Sandini, G. (ed.) ECCV 1992. LNCS, vol. 588, pp. 852-856. Springer, Heidelberg (1992)
7. de Bruijne, M., Nielsen, M.: Shape particle filtering for image segmentation. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3216, pp. 168-175. Springer, Heidelberg (2004)
8. Subsol, G., Thirion, J.P., Ayache, N.: A scheme for automatically building three-dimensional morphometric anatomical atlases: application to a skull atlas. Medical Image Analysis 2(1), 37-60 (1998)
9. Frangi, A.F., Rueckert, D., Schnabel, J.A., Niessen, W.J.: Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling. IEEE Trans. Medical Imaging 21(9), 1151-1166 (2002)
10. Kaus, M.R., Pekar, V., Lorenz, C., Truyen, R., Lobregt, S., Weese, J.: Automated 3-D PDM construction from segmented images using deformable models. IEEE Trans. Medical Imaging 22(8), 1005-1013 (2003)
11. Davies, R.H., Twining, C.J., Cootes, T.F., Waterton, J.C., Taylor, C.J.: 3D statistical shape models using direct optimisation of description length. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 3-20. Springer, Heidelberg (2002)
12. Heimann, T., Wolf, I., Meinzer, H.P.: Optimal landmark distributions for statistical shape model construction. In: Proc. SPIE Medical Imaging: Image Processing, vol. 6144, pp. 518-528 (2006)
13. de Bruijne, M., van Ginneken, B., Viergever, M.A., Niessen, W.J.: Adapting active shape models for 3D segmentation of tubular structures in medical images. In: Taylor, C.J., Noble, J.A. (eds.) IPMI 2003. LNCS, vol. 2732, pp. 136-147. Springer, Heidelberg (2003)
14. Kittler, J., Alkoot, F.M.: Moderating k-NN classifiers. Pattern Analysis & Applications 5(3), 326-332 (2002)
15. Fogel, L.J., Owens, A.J., Walsh, M.J.: Artificial Intelligence through Simulated Evolution. John Wiley, New York (1966)
16. Schwefel, H.P.: Evolution and Optimum Seeking. John Wiley & Sons, Inc, New York (1995)
17. Holland, J.H.: Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor (1975)
18. Behiels, G., Maes, F., Vandermeulen, D., Suetens, P.: Evaluation of image features and search strategies for segmentation of bone structures in radiographs using active shape models. Medical Image Analysis 6(1), 47-62 (2002)
19. Li, K., Millington, S., Wu, X., Chen, D.Z., Sonka, M.: Simultaneous segmentation of multiple closed surfaces using optimal graph searching. In: Christensen, G.E., Sonka, M. (eds.) IPMI 2005. LNCS, vol. 3565, pp. 406-417. Springer, Heidelberg (2005)
20. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. Pattern Analysis and Machine Intelligence 26(9), 1124-1137 (2004)
21. Hartigan, J.A., Wong, M.A.: A K-means clustering algorithm. Applied Statistics 28, 100-108 (1979)
22. Lamecker, H., Lange, T., Seebass, M.: Segmentation of the liver using a 3D statistical shape model. Technical report, Zuse Institute, Berlin, Germany (2004)